When and where does Machine Translation fit within your process?

MT-Workflow integration as best practice

Machine translation is a process that includes multiple steps. It needs to be created and trained. And only then you can start using it. But this also implies important choices because you need to decide if and how to use it within your current setup or whether to redesign your process. This, on the other hand,  may oblige you to rethink your current workflow design and some of its steps. 

To really reap the benefits of Machine Translation, your engine needs to be integrated within the workflow you decide to adopt. In this way, you can improve the effectiveness of the process and the quality of the output at once. 

A machine-translated text needs to be reviewed by humans in 95% of cases. But this can be done in various ways and at multiple steps within the production chain. We can help you decide where it fits best within your workflow and which approach would be most beneficial.

What are the possible alternatives?

1. Pretranslation of the files in bulk within the MT-engine and inclusion of the pre-translated content in the traditional localization workflow, using a file-based method.
   This is the simplest method to include MT-output within your document Content Management Process. It works well within an established localization department.
2. Integration within your enterprise system through API endpoint. This alternative allows you to include MT in scenarios that reach beyond the limits of the localization department. It offers access to content developed in a foreign language for the purposes, i.e.,  of tech support, or opens up your content to a broader audience in contexts where humans do not need to be involved.
   If you use CMS, it could make sense to develop a CMS connector to the MT engine.

The adoption of MT within a company needs to be seen as a long-term investment. The process requires fine-tuning at multiple steps and technical, business process, and linguistic knowledge.

ASAP Globalizers can help you understand which details really matter and what can make a difference in terms of quality output, process efficiency and workflow optimization. We can help you decide whether it makes sense and, if yes, to implement machine translation within your enterprise.

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